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devasheeshG
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whisper_medium_fp16_transformers

Automatic Speech Recognition
Transformers
PyTorch
whisper
audio
speech
wav2vec2
Eval Results
Inference Endpoints
Model card Files Community
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  1. README.md +71 -29
README.md CHANGED
@@ -12,6 +12,70 @@ tags:
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  model-index:
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  - name: whisper_medium_fp16_transformers
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  results:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  - task:
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  type: automatic-speech-recognition
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  name: Automatic Speech Recognition
@@ -43,34 +107,6 @@ model-index:
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  value: 30.23
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  name: Test CER
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  description: Character Error Rate
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-
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- # - task:
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- # type: automatic-speech-recognition
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- # name: Automatic Speech Recognition
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- # dataset:
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- # type: common_voice
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- # name: Common Voice (14.0) (English) (test.tsv -> 2557 samples used)
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- # metrics:
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- # - type: wer
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- # value: -
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- # name: Test WER
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- # description: Word Error Rate
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- # - type: mer
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- # value: -
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- # name: Test MER
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- # description: Match Error Rate
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- # - type: wil
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- # value: -
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- # name: Test WIL
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- # description: Word Information Lost
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- # - type: wip
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- # value: -
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- # name: Test WIP
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- # description: Word Information Preserved
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- # - type: cer
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- # value: -
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- # name: Test CER
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- # description: Character Error Rate
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  widget:
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  - example_title: Librispeech sample 1
@@ -225,7 +261,13 @@ language:
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  | Original_Model | - | - | - | - | - |
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  | This_Model | 54.97 | 47.86 | 66.83 | 33.16 | 30.23 |
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- ### English
 
 
 
 
 
 
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  | | WER | MER | WIL | WIP | CER |
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  | ----------------- | -------------------- | ------- | --------- | ----------- | --- |
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  | Original_Model | - | - | - | - | - |
 
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  model-index:
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  - name: whisper_medium_fp16_transformers
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  results:
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+ - task:
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+ type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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+ dataset:
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+ type: librispeech_asr
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+ name: LibriSpeech (clean) (English)
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+ config: en
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - type: wer
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+ value: 0
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+ name: Test WER
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+ description: Word Error Rate
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+ - type: mer
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+ value: 0
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+ name: Test MER
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+ description: Match Error Rate
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+ - type: wil
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+ value: 0
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+ name: Test WIL
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+ description: Word Information Lost
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+ - type: wip
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+ value: 0
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+ name: Test WIP
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+ description: Word Information Preserved
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+ - type: cer
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+ value: 0
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+ name: Test CER
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+ description: Character Error Rate
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+
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+ - task:
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+ type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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+ dataset:
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+ type: librispeech_asr
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+ name: LibriSpeech (other) (English)
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+ config: en
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+ split: test
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+ args:
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+ language: en
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+ metrics:
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+ - type: wer
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+ value: 0
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+ name: Test WER
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+ description: Word Error Rate
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+ - type: mer
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+ value: 0
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+ name: Test MER
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+ description: Match Error Rate
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+ - type: wil
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+ value: 0
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+ name: Test WIL
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+ description: Word Information Lost
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+ - type: wip
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+ value: 0
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+ name: Test WIP
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+ description: Word Information Preserved
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+ - type: cer
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+ value: 0
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+ name: Test CER
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+ description: Character Error Rate
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+
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  - task:
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  type: automatic-speech-recognition
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  name: Automatic Speech Recognition
 
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  value: 30.23
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  name: Test CER
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  description: Character Error Rate
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  widget:
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  - example_title: Librispeech sample 1
 
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  | Original_Model | - | - | - | - | - |
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  | This_Model | 54.97 | 47.86 | 66.83 | 33.16 | 30.23 |
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+ ### English (LibriSpeech -> test-clean -> __ samples used) [LibriSpeech](https://huggingface.co/datasets/librispeech_asr)
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+ | | WER | MER | WIL | WIP | CER |
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+ | ----------------- | -------------------- | ------- | --------- | ----------- | --- |
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+ | Original_Model | - | - | - | - | - |
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+ | This_Model | - | - | - | - | - |
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+
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+ ### English (LibriSpeech -> test-other -> __ samples used) [LibriSpeech](https://huggingface.co/datasets/librispeech_asr)
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  | | WER | MER | WIL | WIP | CER |
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  | ----------------- | -------------------- | ------- | --------- | ----------- | --- |
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  | Original_Model | - | - | - | - | - |